Outlier Analysis

• Κύριος συγγραφέας: Aggarwal, Charu C. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2013.
• Θέματα: Computer science.; Computer security.; Database management.; Data mining.; Information storage and retrieval.; Artificial intelligence.; Statistics.; Computer Science.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).; Statistics and Computing/Statistics Programs.; Systems and Data Security.; Database Management.; Information Storage and Retrieval.

With the increasing advances in hardware technology for data collection, and advances in software technology (databases) for data organization, computer scientists have increasingly participated in the latest advancements of the outlier analysis field. Computer scientists, specifically, approach thi...

Πίνακας περιεχομένων:

• An Introduction to Outlier Analysis
• Probabilistic and Statistical Models for Outlier Detection
• Linear Models for Outlier Detection
• Proximity-based Outlier Detection
• High-Dimensional Outlier Detection: The Subspace Method
• Supervised Outlier Detection
• Outlier Detection in Categorical, Text and Mixed Attribute Data
• Time Series and Multidimensional Streaming Outlier Detection
• Outlier Detection in Discrete Sequences
• Spatial Outlier Detection
• Outlier Detection in Graphs and Networks
• Applications of Outlier Analysis.